Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

2

보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/RomanticWithoutStatus/PFLD-TensorFlow2caffe

PFLD: A Practical Facial Landmark Detector

https://github.com/RoninTheKid/yessir

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/Rosie-Brigham/sesmeg

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Rubikplayer/flame-fitting

https://github.com/Rudedaisy/attention-is-all-you-need-pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/RudreshVeerkhare/StyleGan

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/RuisongZhou/RetinaFace.pytorch

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/Ruoyiran/DeepID

Deep Learning Face Representation by Joint Identification-Verification

https://github.com/RuoyuChen10/objectdetection-saliency-maps

Focal Loss for Dense Object Detection

https://github.com/RuoyuGuo/Visualising-Image-Classification-Models-and-Saliency-Maps

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Ruturaj123/VGG16-Keras

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/RyanWu2233/Style_GAN2_FFHQ

Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/SANKHA1/Vehicle-Detection

Deep Residual Learning for Image Recognition

https://github.com/SBPL-Cruz/perch_pose_sampler

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/SHI-Labs/Neighborhood-Attention-Transformer

StyleNAT: Giving Each Head a New Perspective

https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection

Deep Residual Learning for Image Recognition

https://github.com/SPark9625/PyTorch-Proximal-Policy-Optimization

Proximal Policy Optimization Algorithms

https://github.com/SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/SSusantAchary/FaceDetection-counting-using-MTCNN

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/SY-Xuan/pointnet_paddle

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/Saiyam26/Deep-Pixel-wise-Binary-Supervision

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/Saiyam26/Face-Anti-Spoofing-using-DeePixBiS

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/Sakib1263/1DResNet-Builder-KERAS

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/1DResNet-KERAS

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/DenseNet-1D-2D-Tensorflow-Keras

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/ResNet-Model-Builder-KERAS

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/ResNet-Model-Builder-Tensorflow-Keras

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/ResNet-ResNeXt-1D-2D-Tensorflow-Keras

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/ResNet-ResNetv2-ResNeXt-1D-2D-Tensorflow-Keras

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/ResNet1D-Model-Builder-KERAS

Deep Residual Learning for Image Recognition

https://github.com/Sakib1263/VGG-1D-2D-Tensorflow-Keras

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Sakib1263/VGG-Model-Builder-KERAS

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Sakib1263/VGG-Model-Builder-Tensorflow-Keras

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/SalvatoreCognetta/reasoning-agent-project

Proximal Policy Optimization Algorithms

https://github.com/SamarpanDas/Face-Recognition-Face-Verification

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/SaminYeasar/off_policy_ac

Continuous control with deep reinforcement learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.